Mayo Clinic & NVIDIA Launches AI Tool for Rapid Disease Detection

The advanced computing infrastructure will initially support the development of foundation models in pathomics, drug discovery, and precision medicine.

Mayo Clinic, a US-based global leader in healthcare, has partnered with NVIDIA to launch the first AI-powered supercomputer to speed up the diagnosis and treatment of critical diseases.

Reportedly, both healthcare giants are developing clinical AI models using the NVIDIA DGX SuperPOD with DGX B200 systems, a cutting-edge infrastructure that provides advanced AI computing capabilities.

The advanced computing infrastructure will initially support the development of foundation models in pathomics, drug discovery, and precision medicine.

Jim Rogers, CEO of Mayo Clinic Digital Pathology, said, “The confluence of the [AI computing power] that we’re talking about, the data, and the clinical knowledge coming together could be kind of a once-in-a-generation opportunity to truly transform how medicine is practiced.”

Powered by NVIDIA Blackwell, the DGX SuperPOD is designed to efficiently process large, high-resolution medical images critical for AI foundation model training. Its speed and scalability enable Mayo Clinic to accelerate pathology slide analysis and model development.

This advanced infrastructure will also support Mayo’s efforts in generative AI and multimodal digital pathology model innovation.

Matt Redlon, Mayo’s vice president of digital biology for Mayo Clinic Digital Pathology, said the system’s capabilities are three to four times stronger than Mayo’s previous technology.

Matthew Callstrom, M.D., Ph.D., medical director of the Department of Strategy and leader of Mayo Clinic’s Generative Artificial Intelligence Program, said, “Our aspiration for AI is to meaningfully improve patient outcomes by detecting disease early enough to intervene. What was once a hypothetical, ‘If only we had the right data’,is now becoming reality thanks to AI and advanced computing.”

Earlier, Mayo Clinic and Aignostics developed Atlas, a pathology foundation model trained on over 1.2 million histopathology slides to boost diagnostic accuracy and ease clinician workload.

With the support of new high-performance computing capabilities, Mayo Clinic will accelerate and improve the development of clinical AI models, driving faster innovation and improved patient care.

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